casual-browserify vs chance vs faker
JavaScript Data Generation Libraries
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JavaScript Data Generation Libraries

Data generation libraries are essential tools in web development for creating mock data for testing, prototyping, or populating databases. These libraries provide developers with the ability to generate random data such as names, addresses, dates, and more, which can be invaluable for testing applications without relying on real user data. They help simulate various scenarios and ensure that applications can handle a wide range of inputs, enhancing robustness and reliability.

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casual-browserify11,62416347 kB0-MIT
chance06,5572.13 MB17710 months agoMIT
faker0-10.1 MB--MIT

Feature Comparison: casual-browserify vs chance vs faker

Data Variety

  • casual-browserify:

    Casual-Browserify provides a limited set of data types, focusing on basic random data generation such as names, addresses, and dates. It is suitable for simple applications where extensive data variety is not a requirement.

  • chance:

    Chance excels in data variety, offering a wide array of data types including names, addresses, dates, and even custom data types. This flexibility allows developers to generate highly specific datasets tailored to their needs.

  • faker:

    Faker offers an extensive range of realistic fake data types, including user profiles, addresses, company names, and product details. This makes it ideal for applications that need detailed and varied datasets.

Ease of Use

  • casual-browserify:

    Casual-Browserify is designed for simplicity and ease of use, making it accessible for developers who need to generate random data quickly without a steep learning curve. Its straightforward API allows for rapid implementation.

  • chance:

    Chance has a user-friendly API that balances simplicity with flexibility. While it offers a variety of options, it remains easy to use for developers who want to generate random data without extensive setup.

  • faker:

    Faker has a slightly steeper learning curve due to its comprehensive features and options. However, once familiarized, developers can leverage its powerful capabilities to generate complex datasets efficiently.

Customization

  • casual-browserify:

    Casual-Browserify offers limited customization options, primarily focused on generating standard random data without much control over the output format or structure.

  • chance:

    Chance allows for significant customization, enabling developers to create custom data types and specify parameters for data generation, making it highly adaptable to various use cases.

  • faker:

    Faker provides extensive customization options, allowing developers to define formats and structures for the generated data. This is particularly useful for applications requiring specific data layouts.

Performance

  • casual-browserify:

    Casual-Browserify is lightweight and performs well for small-scale data generation tasks. However, it may not be optimized for generating large datasets quickly.

  • chance:

    Chance is optimized for performance and can handle generating larger datasets efficiently while maintaining randomness and variety in the output.

  • faker:

    Faker is designed to generate large volumes of realistic data quickly, making it suitable for applications that require extensive datasets for testing or development.

Community and Support

  • casual-browserify:

    Casual-Browserify has a smaller community and fewer resources available for support, which may limit assistance for troubleshooting or advanced use cases.

  • chance:

    Chance has a moderate community and some resources available, providing a decent level of support for developers looking for help or examples.

  • faker:

    Faker boasts a large community and extensive documentation, offering numerous resources, examples, and support options, making it easier for developers to find help and share knowledge.

How to Choose: casual-browserify vs chance vs faker

  • casual-browserify:

    Choose Casual-Browserify if you need a lightweight and straightforward solution for generating random data in a browser environment. It is particularly useful for quick prototyping and simple applications where ease of use is a priority.

  • chance:

    Select Chance if you require a more versatile and feature-rich library that offers a wide variety of data generation options, including custom data types and a strong focus on randomness. It is ideal for applications needing diverse datasets and more control over the generated data.

  • faker:

    Opt for Faker if you are looking for a comprehensive library that can generate realistic fake data for a variety of use cases, including user profiles, addresses, and company information. It is particularly beneficial for applications that require detailed and structured data.

README for casual-browserify

Fake data generator (Browserify "Friendly!")Build Status

Installation

npm install casual-browserify

Description

A fork of Egor Gumenyuk's excellent casual. The purpose of this branch is include static require() calls in order to work more happily with Browserify. As a side effect, the lazy-loading functionality is removed. In most cases you probably want to use regular boo1ean/casual.

Usage

var casual = require('casual');

// Generate random sentence
// You don't need function call operator here
// because most of generators use properties mechanism
var sentence = casual.sentence;

// Generate random city name
var city = casual.city;

// Define custom generator
casual.define('point', function() {
	return {
		x: Math.random(),
		y: Math.random()
	};
});

// Generate random point
var point = casual.point;

// And so on..

Casual uses javascript properties for common generators so you don't need to use function call operator

Embedded generators


// Address

casual.country              // 'United Kingdom'
casual.city                 // 'New Ortiz chester'
casual.zip(digits = {5, 9}) // '26995-7979' (if no digits specified then random selection between ZIP and ZIP+4)
casual.street               // 'Jadyn Islands'
casual.address              // '6390 Tremblay Pines Suite 784'
casual.address1             // '8417 Veda Circles'
casual.address2             // 'Suite 648'
casual.state                // 'Michigan'
casual.state_abbr           // 'CO'
casual.latitude             // 90.0610
casual.longitude            // 180.0778
casual.building_number      // 2413

// Text

casual.sentence               // 'Laborum eius porro consequatur.'
casual.sentences(n = 3)       // 'Dolorum fuga nobis sit natus consequatur. Laboriosam sapiente. Natus quos ut.'
casual.title                  // 'Systematic nobis'
casual.text                   // 'Nemo tempore natus non accusamus eos placeat nesciunt. et fugit ut odio nisi dolore non ... (long text)'
casual.description            // 'Vel et rerum nostrum quia. Dolorum fuga nobis sit natus consequatur.'
casual.short_description      // 'Qui iste similique iusto.'
casual.string                 // 'saepe quia molestias voluptates et'
casual.word                   // 'voluptatem'
casual.words(n = 7)           // 'sed quis ut beatae id adipisci aut'
casual.array_of_words(n = 7)  // [ 'voluptas', 'atque', 'vitae', 'vel', 'dolor', 'saepe', 'ut' ]
casual.letter                 // 'k'

// Internet

casual.ip           // '21.44.122.149'
casual.domain       // 'darrion.us'
casual.url          // 'germaine.net'
casual.email        // 'Josue.Hessel@claire.us'
casual.user_agent   // 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:34.0) Gecko/20100101 Firefox/34.0'

// Person

casual.name            // 'Alberto'
casual.username        // 'Darryl'
casual.first_name      // 'Derek'
casual.last_name       // 'Considine'
casual.full_name       // 'Kadin Torphy'
casual.password        // '(205)580-1350Schumm'
casual.name_prefix     // 'Miss'
casual.name_suffix     // 'Jr.'
casual.company_name    // 'Cole, Wuckert and Strosin'
casual.company_suffix  // 'Inc'
casual.catch_phrase    // 'Synchronised optimal concept'
casual.phone           // '982-790-2592'

// Numbers

casual.random                            // 0.7171590146608651 (core generator)
casual.integer(from = -1000, to = 1000)  // 632
casual.double(from = -1000, to = 1000)   // -234.12987444
casual.array_of_digits(n = 7)            // [ 4, 8, 3, 1, 7, 6, 6 ]
casual.array_of_integers(n = 7)          // [ -105, -7, -532, -596, -430, -957, -234 ]
casual.array_of_doubles(n = 7)           // [ -866.3755785673857, -166.62194719538093, ...]
casual.coin_flip                         // true

// Date

casual.unix_time                    // 659897901
casual.moment                       // moment.js object see http://momentjs.com/docs/
casual.date(format = 'YYYY-MM-DD')  // '2001-07-06' (see available formatters http://momentjs.com/docs/#/parsing/string-format/)
casual.time(format = 'HH:mm:ss')    // '03:08:02' (see available formatters http://momentjs.com/docs/#/parsing/string-format/)
casual.century                      // 'IV'
casual.am_pm                        // 'am'
casual.day_of_year                  // 323
casual.day_of_month                 // 9
casual.day_of_week                  // 4
casual.month_number                 // 9
casual.month_name                   // 'March'
casual.year                         // 1990
casual.timezone                     // 'America/Miquelon'

// Payments

casual.card_type            // 'American Express'
casual.card_number(vendor)  // '4716506247152101' (if no vendor specified then random)
casual.card_exp             // '03/04'
casual.card_data            // { type: 'MasterCard', number: '5307558778577046', exp: '04/88', holder_name: 'Jaron Gibson' }

// Misc

casual.country_code    // 'ES'
casual.language_code   // 'ru'
casual.locale          // 'hi_IN'
casual.currency        // { symbol: 'R', name: 'South African Rand', symbol_native: 'R', decimal_digits: 2, rounding: 0, code: 'ZAR', name_plural: 'South African rand' }		
casual.currency_code   // 'TRY'
casual.currency_symbol // 'TL'
casual.currency_name   // Turkish Lira
casual.mime_type       // 'audio/mpeg'
casual.file_extension  // 'rtf'
casual.boolean         // true
casual.uuid            // '2f4dc6ba-bd25-4e66-b369-43a13e0cf150'

// Colors

casual.color_name       // 'DarkOliveGreen'
casual.safe_color_name  // 'maroon'
casual.rgb_hex          // '#2e4e1f'
casual.rgb_array        // [ 194, 193, 166 ]

Define custom generators

casual.define('user', function() {
	return {
		email: casual.email,
		firstname: casual.first_name,
		lastname: casual.last_name,
		password: casual.password
	};
});

// Generate object with randomly generated fields
var user = casual.user;

If you want to pass some params to your generator:

casual.define('profile', function(type) {
	return {
		title: casual.title,
		description: casual.description,
		type: type || 'private'
	};
});

// Generate object with random data
var profile = casual.profile('public');

NOTE: if getter function has non-empty arguments list then generator should be called as function casual.profile('public'), otherwise it should be accessed as property casual.profile.

Localization

You can get localized version of casual generator:

var casual = require('casual').ru_RU;
casual.street; // 'Бухарестская'

Default locale is en_US.

See src/providers/{{locale}} for more details about available locales and locale specific generators.

If you don't find necessary locale, please create an issue or just add it :)

Helpers

random_element

Get random array element

var item = casual.random_element(['ball', 'clock', 'table']);

random_value

Extract random object value

var val = casual.random_value({ a: 1, b: 3, c: 42 });
// val will be equal 1 or 3 or 42

random_key

Extract random object key

var val = casual.random_key({ a: 1, b: 3, c: 42 });
// val will be equal 'a' or 'b' or 'c'

populate

Replace placeholders with generators results

casual.populate('{{email}} {{first_name}}');
// 'Dallin.Konopelski@yahoo.com Lyla'

populate_one_of

Pick random element from given array and populate it

var formats = ['{{first_name}}', '{{last_name}} {{city}}'];
casual.populate_one_of(formats);

// Same as

casual.populate(casual.random_element(formats));

numerify

Replace all # in string with digits

var format = '(##)-00-###-##';
casual.numerify(format); // '(10)-00-843-32'

define

See custom generators

register_provider

Register generators provider

var words = ['flexible', 'great', 'ok', 'good'];
var doge_provider = {
	such: function() {
		return 'such ' + casual.random_element(words);
	},

	doge_phrase: function() {
		return 'wow ' + casual.such();
	}
};

casual.register_provider(doge_provider);

casual.such;        // 'such good'
casual.doge_phrase; // 'wow such flexible'

Seeding

If you want to use a specific seed in order to get a repeatable random sequence:

casual.seed(123);

It uses Mersenne Twister pseudorandom number generator in core.

Generators functions

If you want to pass generator as a callback somewhere or just hate properties you always can access generator function at casual._{generator}

// Generate value using function
var title = casual._title();
// Same as
var title = casual.title;

// Pass generator as callback
var array_of = function(times, generator) {
	var result = [];

	for (var i = 0; i < times; ++i) {
		result.push(generator());
	}

	return result;
};

// Will generate array of five random timestamps
var array_of_timestamps = array_of(5, casual._unix_time);

Or you can get functional version of casual generator:

var casual = require('casual').functions();

// Generate title
casual.title();

// Generate timestamp
casual.unix_time();

View providers output cli

There is a simple cli util which could be used to view/debug providers output:

# Will render table with columns [generator_name, result] for all providers
node utils/show.js

 # Will render table with columns [generator_name, result] only for person provider
node utils/show.js person

Browserify support

Currently you can't use casual with browserify. Please check out this browserify-friendly fork Klowner/casual-browserify

Contributing

License

Heavily inspired by https://github.com/fzaninotto/Faker

The MIT License (MIT) Copyright (c) 2014 Egor Gumenyuk boo1ean0807@gmail.com

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.